Übersicht			Auf mobile öffnen

Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	Juli 2025
Genre:	Naturwissensch., Medizin, Technik
	ArtificialIntelligent / ComputationalIntelligence / DataScience / Datenbanken / Datenmanagement / DeepLearning / Elektronik / IntelligentDiagnosis / Künstliche Intelligenz (KI) / PrognosticsandHealthManagement mehr...
ISBN:	9789819672172
EAN-Code:	9789819672172
Verlag:	Springer
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 241 mm / B 160 mm / D 18 mm
Gewicht:	558 gr
Seiten:	232
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book gives a detailed introduction to the technical background, feature extraction methods, PHM models and big data embedding methods of the big data theory in PHM for intelligent electromechanical systems. Combination with deep learning and big data, this book explains the hybrid algorithm framework of PHM such as ensemble intelligence and optimized intelligence and introduces PHM models for bearing, IGBT, MOSFET and other components and their big data embedding platform. This book improves the PHM method and theory of electromechanical system under industrial big data and provides reference for the development of intelligent electromechanical equipment and intelligent industrial production in the future.